Job
Description
Job Summary JOB DESCRIPTION We are seeking a talented and experienced Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and systems to support analytics and data-driven decision-making. This role requires expertise in data processing, data modeling, and big data technologies. Responsibilities Key Responsibilities: Design and develop datapipelines to collect, transform, and load data into datalakes and datawarehouses . Optimize ETLworkflows to ensure data accuracy, reliability, and scalability. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements. Implement and manage cloud − baseddataplatforms (e.g., AWS , Azure , or GoogleCloudPlatform ). Develop datamodels to support analytics and reporting. Monitor and troubleshoot data systems to ensure high performance and minimal downtime. Ensure data quality and security through governance best practices. Document workflows, processes, and architecture to facilitate collaboration and scalability. Stay updated with emerging data engineering technologies and trends. Qualifications Required Skills and Qualifications: Strong proficiency in SQL and Python for data processing and transformation. Hands-on experience with bigdatatechnologies like ApacheSpark , Hadoop , or Kafka . Knowledge of datawarehousingconcepts and tools such as Snowflake , BigQuery , or Redshift . Experience with workfloworchestrationtools like ApacheAirflow or Prefect . Familiarity with cloudplatforms (AWS, Azure, GCP) and their data services. Understanding of datagovernance , security , and compliance best practices. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Preferred Qualifications Certification in cloudplatforms (AWS, Azure, or GCP). Experience with NoSQLdatabases like MongoDB , Cassandra , or DynamoDB . Familiarity with DevOpspractices and tools like Docker , Kubernetes , and Terraform . Exposure to machinelearningpipelines and tools like MLflow or Kubeflow . Knowledge of datavisualizationtools like PowerBI , Tableau , or Looker . Show more Show less
